Mercurial > hg > aimc
diff src/Scripts/Strobes_test.py @ 32:9122efd2b227
-New AIMCopy main for the SSI features (temporary hack till I get a working module load system)
-LocalMax strobe criterion. This is faster and better than the parabola version, which still seems buggy.
-Noise generator module. Adds noise to a signal. Uses boost for the random number generator.
-New options for the SSI
-Slice now respects all its flags (oops!).
-MATLAB functions for visualisation
-Scripts for generating data to view in MATLAB
-Script to download and build HTK - useful for running experiments
author | tomwalters |
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date | Thu, 25 Feb 2010 22:02:00 +0000 |
parents | |
children | c5f5e9569863 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/src/Scripts/Strobes_test.py Thu Feb 25 22:02:00 2010 +0000 @@ -0,0 +1,117 @@ +#!/usr/bin/env python +# encoding: utf-8 +# +# AIM-C: A C++ implementation of the Auditory Image Model +# http://www.acousticscale.org/AIMC +# +# This program is free software: you can redistribute it and/or modify +# it under the terms of the GNU General Public License as published by +# the Free Software Foundation, either version 3 of the License, or +# (at your option) any later version. +# +# This program is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +# GNU General Public License for more details. +# +# You should have received a copy of the GNU General Public License +# along with this program. If not, see <http://www.gnu.org/licenses/>. +""" +Profiles_test.py + +Created by Thomas Walters on 2010-02-22. +Copyright 2010 Thomas Walters <tom@acousticscale.org> +Test the AIM-C model from filterbank to SSI profiles +""" + +import aimc +from scipy.io import wavfile +from scipy import io +import scipy +import pylab +import numpy +from itertools import izip, chain, repeat + +def grouper(n, iterable, padvalue=None): + "grouper(3, 'abcdefg', 'x') --> ('a','b','c'), ('d','e','f'), ('g','x','x')" + return izip(*[chain(iterable, repeat(padvalue, n-1))]*n) + +def BankToArray(out_bank): + channel_count = out_bank.channel_count() + out_buffer_length = out_bank.buffer_length() + out = scipy.zeros((channel_count,out_buffer_length)) + for ch in range(0, channel_count): + for i in range(0, out_buffer_length): + out[ch, i] = out_bank.sample(ch, i) + return out + +def StrobesToList(bank): + channel_count = bank.channel_count() + out = scipy.zeros((channel_count,), dtype=numpy.object) + for ch in range(0, channel_count): + s = [] + for i in range(0, bank.strobe_count(ch)): + s.append(bank.strobe(ch, i)) + out[ch] = s + return out + +def main(): + wave_path = "/Users/Tom/Documents/Work/PhD/HTK-AIM/Sounds/" + + file_name = "ii/ii172.5p112.5s100.0t+000itd" + + wave_suffix = ".wav" + + frame_period_ms = 10; + + wave_filename = wave_path + file_name + wave_suffix + + (sample_rate, input_wave) = wavfile.read(wave_filename) + wave_length = input_wave.size + buffer_length = int(frame_period_ms * sample_rate / 1000) + + + input_sig = aimc.SignalBank() + input_sig.Initialize(1, buffer_length, sample_rate) + parameters = aimc.Parameters() + parameters.SetInt("input.buffersize", 480) + + mod_gt = aimc.ModuleGammatone(parameters) + mod_hl = aimc.ModuleHCL(parameters) + mod_strobes = aimc.ModuleLocalMax(parameters) + + mod_gt.AddTarget(mod_hl) + mod_hl.AddTarget(mod_strobes) + + mod_gt.Initialize(input_sig) + + correct_count = 0; + incorrect_count = 0; + + scaled_wave = [] + for sample in input_wave: + scaled_wave.append(float(sample / float(pow(2,15) - 1))) + i = 0 + + wave_chunks = grouper(buffer_length, scaled_wave, 0) + + out_nap = [] + out_strobes = [] + + for chunk in wave_chunks: + i = 0 + for sample in chunk: + input_sig.set_sample(0, i, float(sample)) + i += 1 + mod_gt.Process(input_sig) + out_nap.append(BankToArray(mod_hl.GetOutputBank())) + out_strobes.append(StrobesToList(mod_strobes.GetOutputBank())) + + outmat = dict(nap=out_nap, strobes=out_strobes) + io.savemat("src/Scripts/strobes_out.mat", outmat, oned_as='column') + + pass + + +if __name__ == '__main__': + main()